Hitachi, Ltd.

Fujifilm Healthcare Corporation

Fujifilm Corporation

Hitachi Medical Corporation

Toru Shirai

Yo Taniguchi

Hisaaki Ochi

Yoshitaka Bito

Suguru Yokosawa

Ryota Satoh

Shinji Kurokawa

Tomoki Amemiya

Yoshihisa Soutome

Satoshi Hirata

Masahiro Takizawa

Takenori Murase

Yosuke Otake

Ryota Sato

Yasuhiro Kamada

Yoshihisa Sotome

Atsuro Suzuki

Yukio Kaneko

Yoshitaka Sato

Takashi Nishihara

Kohjiro Iwasawa

Hiroki Shoji

Yasuo Kawata

Hiroyuki Takeuchi

Hideta Habara

Hisako Nagao

Kazuyuki Kato

Keisuke Nishio

Kazuho Kamba

Koji Hirata

Tetsuhiko Takahashi

Hiroyuki Itagaki

Satoshi Yamashita

Hikaru Hanada

Yukari Yamamoto

Isao Takahashi

Kazuki Matsuzaki

Kuniaki Harada

Chizue Tanaka

Binrong Wu

Chikako Moriwake

Yasuhide Yoshida

Takanori Nishiyama

Kohsuke Kudo

A learning model learned to provide high image quality of a first image is generated. A first image and a second image are received from the same target, high image quality of the first image is provided by using the learned model, and a first high image quality image is obtained. By using the first high image quality image and the second image as inputs, a high image quality image of the second image having the image quality of the first high image quality image is generated while maintaining contrast of the second image.

Image processing device, image processing method, and magnetic resonance imaging device

An image including contrast is standardized and an area is divided, a measurement cross section that most matches a measurement cross section determined to be appropriate for measuring a predetermined index is determined based on a feature of a notable tissue in the divided area, and a measurement value serving as an index is calculated in the measurement cross section.

Image analysis device, image analysis method, and image analysis program

Provided is a technique capable of calculating a three-dimensional position of a treatment tool only by processing an X-ray image without using an external signal of a body movement monitor or the like and capable of eliminating an influence of body movement. A plurality of combinations of a plurality of X-ray images from a plurality of X-ray images acquired at different angles or times are used to obtain a parameter serving as an index of calculation accuracy of a three-dimensional position of a treatment tool for each combination and to calculate the three-dimensional position of the treatment tool based on a combination of X-ray images serving as a parameter having the highest accuracy.

X-ray imaging device and treatment tool recognition method

In separating water and fat with applying the Dixon method, peak intensities of fat with multiple peaks are individually calculated with a high degree of accuracy while reducing the number of variables to be estimated. Multiple images made up of signals acquired at different echo times (TEs) are used to solve a predetermined signal equation (signal model) expressing the relation between the pixel values (signal values) of the images and imaging parameters such as signal intensities of components and TE, thereby performing separation of signals for each component. For separating the signals, at least one of the variables (other than the signal intensity) included in the signal equation is subjected to a process (first estimation process) for refining a value roughly obtained, and then using thus refined value of the variable to estimate (second estimation process) other variables (including the signal intensity), the signals are separated.

Image processing apparatus, magnetic resonance imaging apparatus, and signal separation method

A technology is provided for stably synthesizing a blood vessel image while suppressing a decrease in brightness of a blood vessel in a case of synthesizing the blood vessel image. Optimization of an imaging parameter set for quantitative value map calculation is performed by adding at least one condition in which there is no decrease in brightness of a blood vessel in a region where no blood vessel is depicted in either an original image or a quantitative value image.

Magnetic resonance imaging apparatus, image processing device, and image processing method

The present invention provides a technique capable of accurately and automatically setting a region of interest for acquiring biological information based on a biological information signal obtained from a subject placed in an examination space in a non-contact manner. A signal analyzing unit of a medical imaging apparatus uses the biological information signal for each of a plurality of regions included in a predetermined range among signals measured by a biological information measuring apparatus to select the region of interest in which movement of the subject is to be acquired among the plurality of regions. The movement of the subject is calculated using the biological information signal measured by the biological information measuring apparatus from the selected region of interest.

Medical imaging apparatus including biological signal processing system, medical imaging system, and biological signal processing method

In an MRI image, signals from plural metabolites are accurately separated. A signal separation unit generates, as a dictionary, plural signal patterns in which values of variables of substances are changed based on prior information, and performs signal separation of the substances by matching the dictionary with a measured signal. At this time, an order of signal intensities of the substances is used as the prior information, and selection of a most matched dictionary for each of the substances is repeated while changing a dictionary used for matching according to the order.

Magnetic resonance imaging apparatus, image processing apparatus, and signal separation method

The invention provides a technique capable of effectively and appropriately removing noise from various kinds of images including noise and artifacts and images in which a noise pattern changes due to a difference in imaging conditions. Based on a noise removal technique using AI, noise characteristics including artifacts are analyzed for each image, the image is classified based on an analysis result, an optimal neural network for a noise processing is applied for each classification, and the noise and the artifacts are reduced.

Medical image processing device, medical imaging apparatus, and noise reduction method for medical image

Provided is a method for performing reconstruction and noise removal with high accuracy on various undersampling patterns including equidistant undersampling. An image processing unit that processes measurement data acquired by an MRI apparatus performs image reconstruction by using measurement data on respective channels measured in a predetermined undersampling pattern and sensitivity distributions of respective reception coils. At this time, denoising of a reconstructed image and a calculation for maintaining consistency between original measurement data and the measurement data on the respective channels created from denoised images are sequentially processed. Accordingly, image restoration and denoising with high accuracy are possible without depending on the undersampling pattern.

Magnetic resonance imaging apparatus, image processing apparatus, and image processing method

To provide a technique of stably obtaining quantitative parameter maps by preventing influences of artifacts caused by flow or body motion when calculated images with a plurality of parameters are generated at the same time. When a calculated image of a subject parameter or an apparatus parameter is generated by using a plurality of images obtained by performing imaging under different imaging conditions, an imaging condition under which the artifacts are easy to occur is examined in advance, and an imaging parameter set for quantitative parameter map calculation is optimized by excluding the imaging condition under which the artifact is easy to occur.

Magnetic resonance imaging apparatus and image processing method

To calculate a high-resolution coil sensitivity distribution that does not depend on a shape or a structure of a subject with high accuracy. An MRI apparatus of the invention includes: a measurement unit that includes a reception coil including a plurality of channels, a measurement unit that measures a nuclear magnetic resonance signal of a subject for every channel of the reception coil; and an image computation unit that creates an image of the subject by using a sensitivity distribution for every channel of the reception coil, and a channel image obtained from the nuclear magnetic resonance signal measured by the measurement unit for every channel. The image computation unit includes a sensitivity distribution calculation unit that calculates a sensitivity distribution on a k-space for every channel by using the channel images and a composite image obtained by combining the channel images.

Magnetic resonance imaging apparatus, sensitivity distribution calculation method, and sensitivity distribution calculation program

For a complex image to be complexly added, appropriate phase correction is executed by a simple method to prevent occurrence of an artifact in a signal region and to reduce noise in a background region. Two or more types of smoothing processing with different smoothing degrees are executed on a phase image of the complex image to obtain two or more types of smoothed phase images having different smoothing degrees. A weight for each of these smoothed phase images is calculated based on a signal value (SNR) of an intensity image, and addition is performed by a weight for each signal value to obtain a smoothed phase image for correction. After a phase of the complex image is corrected using the smoothed phase image, a phase-corrected complex image is complexly added. As a result, phase correction equivalent to phase correction in which a smoothing degree is weakened in the signal region and a smoothing degree is strengthened in the background region is realized.

Magnetic resonance imaging device, image processing device, and image processing method

The present invention is to perform appropriate noise reduction processing on an image having different signal levels or noise levels depending on an imaging condition or a reconstruction condition. A magnetic resonance imaging apparatus according to the invention includes: a measurement unit that receives a nuclear magnetic resonance signal generated in a subject by a receiving coil; an image reconstruction unit that processes the nuclear magnetic resonance signal received by the receiving coil and reconstructs an image of the subject; an SNR spatial distribution calculation unit that calculates spatial distribution of a signal-to-noise ratio of the image using spatial distribution of a noise level and spatial distribution of the signal of the image; and a noise reduction unit that reduces noise from the image based on the spatial distribution of the signal-to-noise ratio.

Magnetic resonance imaging apparatus, noise reduction method and image processing apparatus

Provided is a magnetic resonance imaging apparatus with no occurrence of artifacts, even after noise removal by applying Wavelet transform to a zero-fill reconstructed image. Nuclear magnetic resonance signals acquired by the magnetic resonance imaging apparatus are processed to perform reconstruction with a reconstruction matrix extended by zero-filling an acquisition matrix, and then a zero-fill reconstructed image is produced. This reconstructed image is subjected to an iterative operation combining the Wavelet transform and L1 norm minimization to remove noise. Before the noise removal, a pre-processing is performed to change the reconstruction matrix size so that an artifact does not occur in the image after noise removal, an artifact portion appears outside the reconstruction matrix after the noise removal, or cutting out is performed so that no artifact appears after the noise removal. The matrix size is restored to its original size in the post-processing after the noise removal.

Distortion generated in an image is effectively corrected in imaging using an EPI sequence such as DWI without extending an imaging time. After one excitation RF pulse of EPI is applied, a navigator scan in which the polarity of the phase encoding is opposite to that of the main scan is performed continuously to the main scan, and the distortion of the image by using the navigator scan data obtained by the navigator scan is corrected. In a case of multi-shot, phase information obtained from the navigator scan data for each shot is used to perform phase correction and multi-shot reconstruction on the main scan data of each shot.

Magnetic resonance imaging device and control method thereof

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Tokyo, Japan

Toru Shirai